Showing 1 - 20 results of 804 for search '(( third ((larger decrease) OR (((mean decrease) OR (_ decrease)))) ) OR ( shows mae decrease ))', query time: 0.53s Refine Results
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    Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively.... by Zoë Parker Cates (22184243)

    Published 2025
    “…The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respectively. …”
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    Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Thirdly, the relevant e high temperature indices of plain urban area were larger while the relevant low temperature indices of mountain hilly area were smaller. …”
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    Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Thirdly, the relevant e high temperature indices of plain urban area were larger while the relevant low temperature indices of mountain hilly area were smaller. …”
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    Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Thirdly, the relevant e high temperature indices of plain urban area were larger while the relevant low temperature indices of mountain hilly area were smaller. …”
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    The MAE value of the model under raw data. by Xiangjuan Liu (618000)

    Published 2025
    “…Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”
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